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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 14901
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    INDEX
    Explanations

    instances of the concept "bad" or negative aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to positive and negative experiences or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atl
    -0.88
    ogi
    -0.83
    mud
    -0.78
    stros
    -0.77
    endi
    -0.74
    gow
    -0.73
    nl
    -0.70
     Stout
    -0.70
    mr
    -0.69
    forts
    -0.68
    POSITIVE LOGITS
     depending
    1.05
     alike
    1.00
     respectively
    0.97
     sides
    0.84
     dich
    0.81
     directions
    0.80
     perspectives
    0.78
     transformations
    0.78
     wings
    0.77
     administrations
    0.76
    Activations Density 0.204%

    No Known Activations